Real-time voice AI platform for enterprise-scale conversations
Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
Stage
Not given
Not given
Founded
2023
Not given
Based in
US
Not given
Pricing model
Freemium
Freemium
Pricing
Pay-as-you-go pricing starting from $0.05/minute for voice agents, with $10 free credits to start. Models priced individually: Speech-to-Text approximately $0.009/minute, Text-to-Speech approximately $0.09/minute, Hosting $0.01/minute flat rate. Phone numbers rent for $10/month. Enterprise plan avai
Free: Nimbalyst app and personal wiki. Wiki Teams: $20 per user per month or $200 per user per year (currently free during beta).
Key features
Real-time speech-to-text across 38+ languages with 64ms latency
Text-to-speech at sub-100ms latency across 70+ languages
Full-duplex speech-to-speech model with real-time conversation
Small language model (Electron) outperforming larger models
Unlimited voice agents with single interface
Voice cloning capability
Multi-language support for voice agents
Emotion and speaker detection
Knowledge base integration ($3/GB/User)
Post-call analytics and reporting
WYSIWYG markdown editor with AI-assisted editing
Red/green inline diffs for AI changes approval
Visual editors for mockups, diagrams, and drawings
Parallel agent session management
File and session linking
Persistent searchable session history
Pull request review in Developer Mode
MCP server support
What makes it different
Production-grade models built for reliability and real-time performance at enterprise scale
Smaller, focused AI models that outperform larger general-purpose models in real-world applications
Complete voice stack integration from speech understanding to response generation
Enterprise security with ISO 27001, SOC 2 Type II, GDPR, and HIPAA compliance
Flexible pay-as-you-go pricing with no long-term contracts
Agents write the wiki as they work, eliminating manual documentation
Open source and local-first: your data stays on your machine
Built by Evergage founders who scaled to $250M ARR
One unified workspace instead of multiple disconnected tools